import numpy as np
from utils.dvector_tool import *
import os
import utils.dvector_io as dvector_io
import sys
def eer(trials, enroll_dict, transform_mat, test_dict=None):
if test_dict == None:
eer, eer_th = compute_eer(trials, enroll_dict, enroll_dict,
transform_mat)
print("eer: %.4f, threshold: %.4f" % (eer, eer_th))
else:
eer, eer_th = compute_eer(trials, enroll_dict, test_dict,
transform_mat)
print("eer: %.4f, threshold: %.4f" % (eer, eer_th))
if __name__ == "__main__":
if len(sys.argv) != 4:
print("Usage: " + sys.argv[0] +
" <trials:string> <test-dvector:string> <transform_mat:string>")
exit(1)
trials = sys.argv[1]
test_dvector = sys.argv[2]
transform_mat_file = sys.argv[3]
test_dict = dvector_io.read_vec(test_dvector)
print(len(test_dict))
transform_mat = np.load(transform_mat_file)
eer(trials, test_dict, transform_mat)
from utils.dvector_tool import compute_eer
import os
import utils.dvector_io as dvector_io
import sys
def eer(trials, enroll_dict, test_dict=None):
if test_dict == None:
eer, eer_th = compute_eer(trials, enroll_dict, enroll_dict)
print("eer: %.4f, threshold: %.4f" % (eer, eer_th))
else:
eer, eer_th = compute_eer(trials, enroll_dict, test_dict)
print("eer: %.4f, threshold: %.4f" % (eer, eer_th))
if __name__ == "__main__":
if len(sys.argv) < 3 or len(sys.argv) > 4:
print("Usage: " + sys.argv[0] + " <trials:string> <enroll_file:string> [<test_file:string>]")
exit(1)
trials = sys.argv[1]
if len(sys.argv) == 3:
enroll_file = sys.argv[2]
enroll_dict = dvector_io.read_vec(enroll_file)
eer(trials, enroll_dict)
else:
enroll_file = sys.argv[2]
test_file = sys.argv[3]
enroll_dict = dvector_io.read_vec(enroll_file)
test_dict = dvector_io.read_vec(test_file)
eer(trials, enroll_dict, test_dict)
#!/usr/bin/env python2.7
#coding=utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import time
import tables as tb
import numpy as np
from utils.dvector_tool import compute_eer
import os
import utils.dvector_io as dvector_io
import sys
import model.score_model as sc_model
if __name__ == "__main__":
if len(sys.argv) != 3:
print("Usage: " + sys.argv[0] + " <train_dvector:string>" + " <number of vector:int>")
exit(1)
train_file = sys.argv[1]
k = int(sys.argv[2])
train_dict = dvector_io.read_vec(train_file)
P = sc_model.matrix_eig(train_dict, k)
np.save("eig.mat", P)